Corey Lammie
Research Scientist at IBM
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolCorey Lammie is a research scientist at IBM Research Zürich with a PhD in Computer Engineering and roughly a decade of experience in systems-level research for distributed and heterogeneous computing. He focuses on compiler and runtime optimizations, software/hardware co-design for accelerators, dataflow mapping, and performance modeling to bridge high-level frameworks and efficient hardware execution. Corey’s work is recognized by multiple competitive awards including an IBM International PhD Fellowship and Australia’s top-paid DPRTPS scholarship, and he has contributed as guest editor and conference track chair in IEEE circuits and systems venues. He progressed from PhD candidate and postdoc roles at James Cook University to an ongoing research scientist position at IBM, bringing both teaching and hands-on research mentorship experience. Known for translating theoretical performance models into scalable software infrastructure, he blends deep academic rigor with practical engineering that targets large-scale workloads. An early background in retail supervision hints at a pragmatic, team-oriented approach to complex project delivery.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Engineering and Related Technologies) Computer Engineering, Doctor of Philosophy (Engineering and Related Technologies) Computer Engineering at James Cook University
Github Skills (40)
pytorch10
python10
machine-learning10
simulation-framework10
deep-learning10
gpu10
ai10
convolutional-neural-networks9
numpy9
data-management9
hardware-acceleration9
autograd9
neural-network9
tensor9
gpu-acceleration9
Programming languages (7)
Github contributions (5)
coreylammie/Memristive-Seizure-Detection-and-Prediction-by-Parallel-Convolutional-Neural-Networks
Jul 2021 - Oct 2022
IEEE Transactions on Biomedical Circuits and Systems: Memristive Seizure Detection and Prediction by Parallel Convolutional Neural Networks
Contributions:72 commits, 1 push in 1 year 3 months
convolutional-neural-networks
coreylammie/MemTorch
Apr 2020 - Apr 2022
A Simulation Framework for Memristive Deep Learning Systems
Contributions:2 releases, 4 reviews, 62 commits in 2 years
deep-learningsimulation-frameworkmemristive-devicesmemristorrram
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